yeqifu carRental up to 3fabb7eae93d209426638863980301d6f99866b3 Druid login.html hard-coded credentials
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in yeqifu carRental up to 3fabb7eae93d209426638863980301d6f99866b3. It has been rated as critical. Affected by this issue is some unknown functionality of the file /carRental_war/druid/login.html of the component Druid. The manipulation leads to hard-coded credentials. This vulnerability is referenced as CVE-2025-9310. Remote exploitation of the attack is possible. Furthermore, an exploit is available. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided.
Details
A vulnerability, which was classified as critical, has been found in yeqifu carRental up to 3fabb7eae93d209426638863980301d6f99866b3. This issue affects an unknown function of the file /carRental_war/druid/login.html of the component Druid. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. Using CWE to declare the problem leads to CWE-798. The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. Impacted is confidentiality.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-9310. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.
The exploit is available at github.com. It is declared as proof-of-concept. By approaching the search of inurl:carRental_war/druid/login.html it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-25466). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.0VulDB Meta Temp Score: 5.9
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔒
CNA Base Score: 5.3
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Hard-coded credentialsCWE: CWE-798 / CWE-259 / CWE-255
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Google Hack: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/21/2025 Advisory disclosed08/21/2025 VulDB entry created
09/12/2025 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2025-9310 (🔒)
GCVE (CVE): GCVE-0-2025-9310
GCVE (VulDB): GCVE-100-320915
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 08/21/2025 08:20Updated: 09/12/2025 14:54
Changes: 08/21/2025 08:20 (56), 08/21/2025 20:20 (1), 09/12/2025 14:54 (42)
Complete: 🔍
Submitter: huanyue
Cache ID: 216:B67:103
Submit
Accepted
- Submit #633588: https://github.com/yeqifu/carRental carRental 1.0 Use of Hard-coded Credentials (by huanyue)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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